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CytoDx

This is thereleased version of CytoDx; for the devel version, seeCytoDx.

Robust prediction of clinical outcomes using cytometry data without cell gating

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DOI: 10.18129/B9.bioc.CytoDx


Bioconductor version: Release (3.22)

This package provides functions that predict clinical outcomes using single cell data (such as flow cytometry data, RNA single cell sequencing data) without the requirement of cell gating or clustering.

Author: Zicheng Hu

Maintainer: Zicheng Hu <zicheng.hu at ucsf.edu>

Citation (from within R, entercitation("CytoDx")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("CytoDx")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CytoDx")
Introduction to CytoDxPDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellBasedAssays,CellBiology,Classification,FlowCytometry,ImmunoOncology,Regression,Software,StatisticalMethod,Survival
Version1.30.0
In Bioconductor sinceBioC 3.7 (R-3.5) (8 years)
LicenseGPL-2
DependsR (>= 3.5)
ImportsdoParallel,dplyr,glmnet,rpart,rpart.plot, stats,flowCore, grDevices, graphics, utils
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageCytoDx_1.30.0.tar.gz
Windows Binary (x86_64) CytoDx_1.30.0.zip
macOS Binary (x86_64)CytoDx_1.30.0.tgz
macOS Binary (arm64)CytoDx_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CytoDx
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CytoDx
Bioc Package Browserhttps://code.bioconductor.org/browse/CytoDx/
Package Short Urlhttps://bioconductor.org/packages/CytoDx/
Package Downloads ReportDownload Stats

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